High-Tech Service Platform Ecosystem Evolution: A Simulation Analysis using Lotka-Volterra Model

Abstract

Technical service platform exerts a strong effect on supporting the innovation of the high-tech industry as a critical constituent of the modern service industry, and it can effectively enhance the development potential of technological innovation, but the degree of separation from technical service chain to high-tech industry chain is currently high. To explore how to improve the utilization efficiency of scientific and technological resources and facilitate the sustainable development of the high-tech industry by relying on technical service platform,a high-tech service platform was constructed by using Lotka-Volterra (L-V) model on the basis of ecosystem theory, the evolution path and stability conditions of high-tech service platform were analyzed followed by numerical simulation by Matlab computing. Results show that the development of hightech service platform follows the evolution path of "bilateral platform → core platform → platform ecosystem"; population evolution pattern in high-tech service platform ecosystem is decided by interdependence coefficient between populations; populations inside high-tech service platform ecosystem generate natural selection and synergistic effect and realize ecological balance among populations through evolution. Evolution of high-tech service platform system in this study provides a new theoretical framework for effective fusion and collaboration of science and technology service and industry, which is significant for elevating scientific and technological innovation level and improving technical service system construction.

The Role of Digital Servitization in Transition Economy: An SNA Approach

“…6 show that digital services based on big-data analysis make the biggest progress in the use by manufacturing firms. These results confirm the previous findings, which show that digital technologies are the triggers for the digital transformation of manufacturing firms [26][27][28]. Furthermore, the results show that webbased offers for product utilization, web-based services for customized product configuration or product design, and digital monitoring of operating status have the highest effect on the manufacturing firms from transition economies.…”

“…Moreover, the results show that digital services make a higher increase rate than traditional services in manufacturing firms. These results confirm findings that show the transformation from product-service systems to the digitalized product-service systems [27]. For RQ1 (Which traditional services make the highest effect on the ecosystem of manufacturing firms?…”

“…The digital platforms approach supports the reducing cost for manufacturing firms in transition economies [21]. The existence of digital platforms and ecosystems is necessary for firms from transition economies to be part of the value chains of developed economies [18,27]. Therefore, research from China in 2007 could serve as a guide to the successful implementation of innovation through servitization [3].…”

Measuring the Development Capability of the Innovation Ecosystem from a Quadruple Helix Perspective—An Empirical Analysis Based on Panel Data for Chinese High-Tech Industries

“…Here, we evaluate the stability level of the innovation ecosystem of regional strategic emerging industries [55]. The high-tech industrial innovation ecosystem is also a part of industrial ecosystem research, and the research on the high-tech industrial innovation ecosystem has gradually emerged to study the system structure, mechanism, and evolution from a system theory perspective [56][57][58][59][60] or to analyze the system's synergistic development [7,61], healthy operation [62][63][64], sustainable development mechanism [65], and organicity [7] using quantitative models. Some scholars proposed a classification evaluation system of regional high-tech industrial innovation ecosystem synergy to measure the level of system synergy [61] and evaluated the level of system health sustainability [62,63].…”

“…The innovation ecosystem is in the process of evolutionary change; that is, the innovation ecosystem development is a dynamic process in which the elements in the system evolve and adapt to each other in a synergistic manner. During the evolutionary development of an innovation ecosystem, various innovation factors such as talent, technologies, information, and capital flow continuously among innovation subjects and between the system and the external environment to realize the allocation and optimization of resources and the promotion and application of technologies [58,62,63,67]. The evolutionary development capability is expressed as the flow of innovation elements within the system, which is conducive to the communication and interaction among the subjects within the system, thereby also promoting the synergistic development and dynamic evolution of the whole system.…”